Senior Data Engineer
Tasks
- Build data validation monitoring and lineage
- Conduct code reviews and technical guidance
- Deliver across DEV QA and PROD environments
- Design enterprise data platforms
- Develop reusable data architecture frameworks
- Ensure data quality, governance, and compliance
- Implement SCD Type 2
- Implement data orchestration and scheduling
- Lead scalable ETL ELT pipelines
- Manage CDC streaming data pipelines
- Mentor data engineers and drive engineering best practices
- Optimize Snowflake workloads and SQL queries
- Perform data modelling for logical and physical models
- Support Agile cross functional delivery
- Transition orchestration from Airflow to Snowflake Tasks
Perks/Benefits
- Accident insurance
- Hybrid work
- International client exposure
- Medical insurance
- Paid leaves
- Public holidays
- Training and development
Skills/Tech-stack
Agile | Apache Airflow | CDC | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Validation | ELT | ETL | Kafka | Performance Tuning | Power BI | Python | Query Optimization | SCD Type-2 | SQL | Snowflake | Snowflake UDF | Streams and Tasks | Type 2)
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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